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Identification of self-management patterns in pediatric type 1 diabetes using cluster analysis
Jennifer M Rohan1, Alan Delamater, Jennifer Shroff Pendley
1Department of Pediatrics, Cincinnati Children's Hospital Medical Center, Cincinnati, OH 45229, USA. Jennifer.Rohan@cchmc.org
Objectives:
This study identified three distinct patterns of self-management groups for a sample of 239 youth (9-11 years) with type 1 diabetes and their maternal and paternal caregivers, and assessed their relationship to glycemic control (HbA1c).
Methods:
Youth and their maternal and paternal caregivers were administered the diabetes self-management profile (DSMP) to assess self-management. Glycemic control was based on hemoglobin A1c.
Results:
Two-step cluster analysis identified three different self-management groups based on youth, maternal, and paternal reports. Analysis of variance indicated that the pattern of less optimal diabetes self-management was associated with worse glycemic control.
Conclusion:
Our results objectively describe differences in patterns of self-management in youth with type 1 diabetes, that relate to glycemic control. Interventions based on these specific patterns of self-management may improve diabetes management and enhance glycemic control in children and adolescents with type 1 diabetes.
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